Evisort, a Workday company, has been recognized in the 2024 Gartner® Critical Capabilities for Contract Life Cycle Management Report, “a comparative analysis that scores competing products or services against a set of critical differentiators identified by Gartner.”¹

Among the 17 CLM providers evaluated in the report, Evisort ranked 4th for Presignature, Postsignature, and Advanced Contract Analytics and 5th for Full Life Cycle Use Case.

These rankings were published following the 2024 Gartner® Magic Quadrant™ for Contract Life Cycle Management (CLM), in which Evisort was named a Visionary for the third consecutive year.

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All of us at Evisort are grateful for these recognitions, which we see as a validation of our ongoing commitment to building industry-leading AI into every layer of our product since 2016.

Throughout the past year, Evisort has continued to push the boundaries of innovation to better serve our customers. We've rolled out significant upgrades to our platform, ensuring we can meet users where they are and align with their workflows and existing tech stack. We've further solidified our standing as a trusted CLM solution, becoming the first to earn an accredited ISO 42001 certification.

Additionally, earlier this month, Evisort became part of Workday, integrating our advanced technology into a world-class enterprise platform that supports over 10,500 organizations—ranging from mid-sized companies to more than 60% of the Fortune 500.

Let’s explore how Evisort has transformed throughout 2024 to deliver faster time-to-value and offer our customers greater control over their contract management and AI-driven solutions.

Our customers have consistently emphasized the importance of customization. They need a solution that captures crucial contract data specific to their organization’s needs.

In response, we launched Document X-Ray™ and Ask AI this year—two cutting-edge AI tools designed to provide easy access to valuable insights on contract terms. Ask AI enables users to query their contracts using natural language and receive precise, well-referenced answers—allowing them to proceed with confidence. 

Document X-Ray, in turn, converts these queries into tailored AI models that extract and generate structured data points across all relevant documents, enabling teams to track every term and clause that matters most to them.

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In August, we released enhancements to our proprietary AI engine, introducing new AI orchestration capabilities that make Document X-Ray even more intuitive and effective.

Before launching any AI model in Document X-Ray, our engine conducts hundreds of experiments within seconds to maximize performance. It then selects the ideal large language model (LLM) for each specific need, using a blend of Evisort's fine-tuned LLM and other leading generic LLMs directly on our platform.

This patent-pending, first-in-market orchestration technology also provides suggestions for optimized prompt language, ensuring users get precision outcomes through a simple feedback system. As a result, Evisort users gain access to reliable, tailored insights from their contracts—without requiring advanced knowledge or training on prompt engineering.

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Security and responsibility are core values at Evisort, and we are committed to delivering the most dependable CLM solution available.

As of now, we’re proud to be the only CLM—and among the first handful of AI companies globally—to achieve an ISO 42001 accredited certification for responsible AI. This certification reaffirms our dedication to safeguarding your data while delivering highly accurate and transparent AI solutions.

This new certification complements our existing ISO 27001 (data security) and ISO 27701 (data privacy) credentials, making Evisort the only CLM provider to secure this unique set of vital standards in responsible AI and data protection.

To learn more, download the 2024 Critical Capabilities for CLM report and the 2024 Gartner Magic Quadrant for CLM.

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1. Gartner Research Methodologies, “Critical Capabilities”, 21 October 2024. https://www.gartner.com/en/research/methodologies/research-methodologies-gartner-critical-capabilities/ 

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Gartner disclaimer

Gartner does not endorse any vendor, product, or service depicted in our research publications; Gartner does not endorse any vendor, product, or service depicted in our research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

Gartner, Critical Capabilities for Contract Life Cycle Management, 21 October 2024, Lynne Phelan, et. Al.

Gartner, Magic Quadrant for Contract Life Cycle Management, 14 October 2024, Kaitlynn Sommers, et. Al.